Tairan Wang

618 citations
20 papers · 353 indexed · 1 hit paper · h-index 7
Topics
Machine Learning in Materials Science (5 papers)Chemical Thermodynamics and Molecular Structure (5 papers)Wireless Communication Security Techniques (4 papers)

In The Last Decade

Tairan Wang

18 papers receiving 336 citations

Hit Papers

Nature of metal-support interaction for metal catalysts o...20242026202520244080120

Peers

Tairan Wang
Comparison fields: 5 of 58
  • Materials Chemistry 172
  • Electrical and Electronic Engineering 95
  • Renewable Energy, Sustainability and the Environment 86
  • Catalysis 70
  • Computer Networks and Communications 68
Replace Qingyi Liu with:
Qingyi Liu China
Lorenz M. Baumgartner Netherlands
Y. Sakamoto Japan
Daniel Köhler Germany
Darrell Elton Australia
Steen Lysgaard Denmark
Jaewook Kim South Korea
Fabio Cameli Belgium
Steven B. Torrisi United States
Caitlin Callaghan United States
Tairan Wang relative to Qingyi Liu China Qingyi Liu's profile →
Citations per field
00.5×1.5×2.3×
Qingyi Liu · 1×
Citations per year

Countries citing papers authored by Tairan Wang

Since Specialization
Citations

This map shows the geographic impact of Tairan Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tairan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tairan Wang more than expected).

Fields of papers citing papers by Tairan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tairan Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tairan Wang. The network helps show where Tairan Wang may publish in the future.

Co-authorship network of co-authors of Tairan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Tairan Wang. A scholar is included among the top collaborators of Tairan Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tairan Wang. Tairan Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 2
4 0
5 4
6
Nature of metal-support interaction for metal catalysts on oxide supportsbreakdown →
126
7 1
8 24
9 7
10 6
11 6
12 5
13 1
14 71
15 16
16 5
17 2
18 3
19 26
20 45

About Tairan Wang

Tairan Wang is a scholar working on Fluid Flow and Transfer Processes, Computer Networks and Communications and Organic Chemistry, having authored 20 papers that have together received 353 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (5 papers), Chemical Thermodynamics and Molecular Structure (5 papers) and Wireless Communication Security Techniques (4 papers). The work is most often cited by research in Catalysis (70 citations), Renewable Energy, Sustainability and the Environment (86 citations) and Materials Chemistry (172 citations). Tairan Wang has collaborated with scholars based in China, Saudi Arabia and United States. Frequent co-authors include Georgios B. Giannakis, Runhai Ouyang, Wei‐Xue Li, Sulei Hu, Yingwei Yao, Xijun Wang, Shuang Jiang, Guozhen Zhang, Fan Wu and Sheng Ye. Their work appears in journals such as Science, Journal of the American Chemical Society and Science Advances.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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